public static int[,] PointsFilter(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhGoc = convertion.ConvertBitmapToMatrixGray(bm);
int[] HistogramAnhGoc = convertion.ConvertMatrixToHistogram(MaTranAnhGoc);
int Thresholding = getValueThreshoding(HistogramAnhGoc);
int[,] MaTranAnhDaXuLy = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = getValuePointsFilter(i, j, MaTranAnhGoc);
if (MaTranAnhDaXuLy[i + 1, j + 1] < Thresholding)
{
MaTranAnhDaXuLy[i + 1, j + 1] = 0;
}
else
{
MaTranAnhDaXuLy[i + 1, j + 1] = 255;
}
}
}
return(MaTranAnhDaXuLy);
}
public static int[,] Equalisation(IConvertion convertion, Bitmap bm)
{
int[,] MaTranAnh = convertion.ConvertBitmapToMatrixGray(bm);
int[] Histogram = convertion.ConvertMatrixToHistogram(MaTranAnh);
int sum = 0;
int[] SumOfHist = new int[256];
for (int i = 0; i < Histogram.Length; i++)
{
sum = sum + Histogram[i];
SumOfHist[i] = sum;
}
double area = bm.Width * bm.Height;
double dm = 255;
int k;
int[,] MaTranAnhDaCanBangHistogram = new int[bm.Height, bm.Width];
for (int i = 0; i < bm.Height; i++)
{
for (int j = 0; j < bm.Width; j++)
{
k = MaTranAnh[i, j];
MaTranAnhDaCanBangHistogram[i, j] = (int)((dm / area) * SumOfHist[k]);
}
}
return(MaTranAnhDaCanBangHistogram);
}
public static int[,] SobelFilter(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhGoc = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaXuLy = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
int[,] MaTranQuaBoLocSobel1 = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
int[,] MaTranQuaBoLocSobel2 = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
for (int i = 0; i < MaTranAnhGoc.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranQuaBoLocSobel1[i + 1, j + 1] = getValueSobel1(i, j, MaTranAnhGoc);
MaTranQuaBoLocSobel2[i + 1, j + 1] = getValueSobel2(i, j, MaTranAnhGoc);
}
}
for (int i = 0; i < MaTranAnhGoc.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i, j] = MaTranQuaBoLocSobel1[i, j] + MaTranQuaBoLocSobel2[i, j];
if (MaTranAnhDaXuLy[i, j] < 0)
{
MaTranAnhDaXuLy[i, j] = 0;
}
else if (MaTranAnhDaXuLy[i, j] > 255)
{
MaTranAnhDaXuLy[i, j] = 255;
}
}
}
return(MaTranAnhDaXuLy);
}
public static int[,] fit(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhGoc = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MatrixBlack_White = convertion.ConvertMatrixGrayToMatrixBlack_White(MaTranAnhGoc);
int[,] MaTranAnhDaXuLy = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
for (int i = 0; i < MatrixBlack_White.GetLength(0); i++)
{
for (int j = 0; j < MatrixBlack_White.GetLength(1); j++)
{
MaTranAnhDaXuLy[i, j] = 0;
}
}
for (int i = 1; i < MatrixBlack_White.GetLength(0) - 1; i++)
{
for (int j = 1; j < MatrixBlack_White.GetLength(1) - 1; j++)
{
if (isFit(i, j, MatrixBlack_White))
{
MaTranAnhDaXuLy[i, j] = 255;
}
}
}
return(MaTranAnhDaXuLy);
}
public static int[,] MaxFilter(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhGoc = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaXuLy = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = GetValueMax(j, i, MaTranAnhGoc);
}
}
return(MaTranAnhDaXuLy);
}
public static int[,] PointProcessingLogarit(Bitmap bm, IConvertion convertion, double c)
{
int[,] MaTranAnhXam = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaLogarit = new int[MaTranAnhXam.GetLength(0), MaTranAnhXam.GetLength(1)];
for (int i = 0; i < MaTranAnhXam.GetLength(0); i++)
{
for (int j = 0; j < MaTranAnhXam.GetLength(1); j++)
{
MaTranAnhDaLogarit[i, j] = (int)(c * Math.Log10(1 + MaTranAnhXam[i, j] * 1.0));
}
}
return(MaTranAnhDaLogarit);
}
public static int[,] PointProcessingNegative(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhXam = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaNegative = new int[MaTranAnhXam.GetLength(0), MaTranAnhXam.GetLength(1)];
for (int i = 0; i < MaTranAnhXam.GetLength(0); i++)
{
for (int j = 0; j < MaTranAnhXam.GetLength(1); j++)
{
MaTranAnhDaNegative[i, j] = 255 - MaTranAnhXam[i, j];
}
}
return(MaTranAnhDaNegative);
}
public static int[,] PointProcessingPower(Bitmap bm, IConvertion convertion, double c)
{
double lamda = 4;
int[,] MaTranAnhXam = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaPower = new int[MaTranAnhXam.GetLength(0), MaTranAnhXam.GetLength(1)];
for (int i = 0; i < MaTranAnhXam.GetLength(0); i++)
{
for (int j = 0; j < MaTranAnhXam.GetLength(1); j++)
{
MaTranAnhDaPower[i, j] = (int)(c * Math.Pow(MaTranAnhXam[i, j], lamda));
}
}
return(MaTranAnhDaPower);
}
public static int[,] PointProcessingThresholding(Bitmap bm, IConvertion convertion, double threshold)
{
int[,] MaTranAnhXam = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaThresholding = new int[MaTranAnhXam.GetLength(0), MaTranAnhXam.GetLength(1)];
for (int i = 0; i < MaTranAnhXam.GetLength(0); i++)
{
for (int j = 0; j < MaTranAnhXam.GetLength(1); j++)
{
if (MaTranAnhXam[i, j] < threshold)
{
MaTranAnhDaThresholding[i, j] = 0;
}
else
{
MaTranAnhDaThresholding[i, j] = 255;
}
}
}
return(MaTranAnhDaThresholding);
}
public static int[,] MedianFilter(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhGoc = convertion.ConvertBitmapToMatrixGray(bm);
int[,] MaTranAnhDaXuLy = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = GetValueMedian(j, i, MaTranAnhGoc);
}
}
//Console.WriteLine("Ma tran anh Median Filter");
//for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0); i++)
//{
// for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) ; j++)
// {
// Console.Write(MaTranAnhDaXuLy[i,j] + "\t");
// }
// Console.WriteLine();
//}
return(MaTranAnhDaXuLy);
}
public static int[,] LinesFilter(Bitmap bm, IConvertion convertion)
{
int[,] MaTranAnhGoc = convertion.ConvertBitmapToMatrixGray(bm);
int[] HistogramAnhGoc = convertion.ConvertMatrixToHistogram(MaTranAnhGoc);
int Thresholding = getValueThreshoding(HistogramAnhGoc);
int[,] MaTranAnhDaXuLy = new int[MaTranAnhGoc.GetLength(0), MaTranAnhGoc.GetLength(1)];
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = getValueHorizontalFilter(i, j, MaTranAnhGoc);
}
}
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = getValue45Filter1(i, j, MaTranAnhGoc);
}
}
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = getValueVerticalFilter(i, j, MaTranAnhGoc);
}
}
for (int i = 0; i < MaTranAnhDaXuLy.GetLength(0) - 2; i++)
{
for (int j = 0; j < MaTranAnhDaXuLy.GetLength(1) - 2; j++)
{
MaTranAnhDaXuLy[i + 1, j + 1] = getValue45Filter2(i, j, MaTranAnhGoc);
}
}
return(MaTranAnhDaXuLy);
}
